我在一个文件中有一个大的位图(比如3888x2592)。现在，我想将位图大小调整为800x533，并将其保存到另一个文件中。
我通常通过调用bitmap来缩放位图。createBitmap方法，但它需要一个源位图作为第一个参数，我不能提供，因为加载原始图像到位图对象当然会超过内存(例如，见这里)。
我也不能读取位图，例如，BitmapFactory.decodeFile(文件，选项)，提供BitmapFactory.Options。inSampleSize，因为我想把它调整到精确的宽度和高度。使用inSampleSize将位图大小调整为972x648(如果我使用inSampleSize=4)或778x518(如果我使用inSampleSize=5，这甚至不是2的幂)。
我还希望避免在第一步中使用inSampleSize读取图像，例如，在第一步中使用972x648，然后在第二步中将其大小调整为800x533，因为与直接调整原始图像的大小相比，质量会较差。
总结一下我的问题:
是否有一种方法来读取一个10MP或更多的大图像文件，并将其保存到一个新的图像文件，调整到一个特定的新宽度和高度，而不得到OutOfMemory异常?
我还尝试了BitmapFactory.decodeFile(文件，选项)和设置选项。out theight and Options。outidth值手动为800和533，但它不是这样工作的。
上面的代码更简洁一些。InputStreams最终关闭了包装，以确保它们也被关闭:
*请注意
输入:InputStream is, int w, int h
输出:位图
try
{
final int inWidth;
final int inHeight;
final File tempFile = new File(temp, System.currentTimeMillis() + is.toString() + ".temp");
{
final FileOutputStream tempOut = new FileOutputStream(tempFile);
StreamUtil.copyTo(is, tempOut);
tempOut.close();
}
{
final InputStream in = new FileInputStream(tempFile);
final BitmapFactory.Options options = new BitmapFactory.Options();
try {
// decode image size (decode metadata only, not the whole image)
options.inJustDecodeBounds = true;
BitmapFactory.decodeStream(in, null, options);
}
finally {
in.close();
}
// save width and height
inWidth = options.outWidth;
inHeight = options.outHeight;
}
final Bitmap roughBitmap;
{
// decode full image pre-resized
final InputStream in = new FileInputStream(tempFile);
try {
final BitmapFactory.Options options = new BitmapFactory.Options();
// calc rought re-size (this is no exact resize)
options.inSampleSize = Math.max(inWidth/w, inHeight/h);
// decode full image
roughBitmap = BitmapFactory.decodeStream(in, null, options);
}
finally {
in.close();
}
tempFile.delete();
}
float[] values = new float[9];
{
// calc exact destination size
Matrix m = new Matrix();
RectF inRect = new RectF(0, 0, roughBitmap.getWidth(), roughBitmap.getHeight());
RectF outRect = new RectF(0, 0, w, h);
m.setRectToRect(inRect, outRect, Matrix.ScaleToFit.CENTER);
m.getValues(values);
}
// resize bitmap
final Bitmap resizedBitmap = Bitmap.createScaledBitmap(roughBitmap, (int) (roughBitmap.getWidth() * values[0]), (int) (roughBitmap.getHeight() * values[4]), true);
return resizedBitmap;
}
catch (IOException e) {
logger.error("Error:" , e);
throw new ResourceException("could not create bitmap");
}
这对我很管用。该函数获取sd卡上文件的路径，并返回可显示的最大大小的位图。
代码是从Ofir与一些变化，如图像文件在sd代替资源和witdth和高度是从显示对象。
private Bitmap makeBitmap(String path) {
try {
final int IMAGE_MAX_SIZE = 1200000; // 1.2MP
//resource = getResources();
// Decode image size
BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
BitmapFactory.decodeFile(path, options);
int scale = 1;
while ((options.outWidth * options.outHeight) * (1 / Math.pow(scale, 2)) >
IMAGE_MAX_SIZE) {
scale++;
}
Log.d("TAG", "scale = " + scale + ", orig-width: " + options.outWidth + ", orig-height: " + options.outHeight);
Bitmap pic = null;
if (scale > 1) {
scale--;
// scale to max possible inSampleSize that still yields an image
// larger than target
options = new BitmapFactory.Options();
options.inSampleSize = scale;
pic = BitmapFactory.decodeFile(path, options);
// resize to desired dimensions
Display display = getWindowManager().getDefaultDisplay();
Point size = new Point();
display.getSize(size);
int width = size.y;
int height = size.x;
//int height = imageView.getHeight();
//int width = imageView.getWidth();
Log.d("TAG", "1th scale operation dimenions - width: " + width + ", height: " + height);
double y = Math.sqrt(IMAGE_MAX_SIZE
/ (((double) width) / height));
double x = (y / height) * width;
Bitmap scaledBitmap = Bitmap.createScaledBitmap(pic, (int) x, (int) y, true);
pic.recycle();
pic = scaledBitmap;
System.gc();
} else {
pic = BitmapFactory.decodeFile(path);
}
Log.d("TAG", "bitmap size - width: " +pic.getWidth() + ", height: " + pic.getHeight());
return pic;
} catch (Exception e) {
Log.e("TAG", e.getMessage(),e);
return null;
}
}
这是“Mojo Risin”和“Ofir”解决方案的“结合”。这将给你一个按比例调整图像的最大宽度和最大高度的边界。
它只读取元数据以获得原始大小(选项。
它使用粗略的调整大小来节省内存(itmap.createScaledBitmap)
它使用了基于之前创建的粗糙Bitamp精确调整大小的图像。
对我来说，它在500万像素以下的图像上表现良好。
try
{
int inWidth = 0;
int inHeight = 0;
InputStream in = new FileInputStream(pathOfInputImage);
// decode image size (decode metadata only, not the whole image)
BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
BitmapFactory.decodeStream(in, null, options);
in.close();
in = null;
// save width and height
inWidth = options.outWidth;
inHeight = options.outHeight;
// decode full image pre-resized
in = new FileInputStream(pathOfInputImage);
options = new BitmapFactory.Options();
// calc rought re-size (this is no exact resize)
options.inSampleSize = Math.max(inWidth/dstWidth, inHeight/dstHeight);
// decode full image
Bitmap roughBitmap = BitmapFactory.decodeStream(in, null, options);
// calc exact destination size
Matrix m = new Matrix();
RectF inRect = new RectF(0, 0, roughBitmap.getWidth(), roughBitmap.getHeight());
RectF outRect = new RectF(0, 0, dstWidth, dstHeight);
m.setRectToRect(inRect, outRect, Matrix.ScaleToFit.CENTER);
float[] values = new float[9];
m.getValues(values);
// resize bitmap
Bitmap resizedBitmap = Bitmap.createScaledBitmap(roughBitmap, (int) (roughBitmap.getWidth() * values[0]), (int) (roughBitmap.getHeight() * values[4]), true);
// save image
try
{
FileOutputStream out = new FileOutputStream(pathOfOutputImage);
resizedBitmap.compress(Bitmap.CompressFormat.JPEG, 80, out);
}
catch (Exception e)
{
Log.e("Image", e.getMessage(), e);
}
}
catch (IOException e)
{
Log.e("Image", e.getMessage(), e);
}
这可能对其他研究这个问题的人有用。我重写了Justin的代码，以允许该方法也接收所需的目标大小对象。这在使用Canvas时工作得非常好。所有的功劳都应该归于JUSTIN的出色的初始代码。
private Bitmap getBitmap(int path, Canvas canvas) {
Resources resource = null;
try {
final int IMAGE_MAX_SIZE = 1200000; // 1.2MP
resource = getResources();
// Decode image size
BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
BitmapFactory.decodeResource(resource, path, options);
int scale = 1;
while ((options.outWidth * options.outHeight) * (1 / Math.pow(scale, 2)) >
IMAGE_MAX_SIZE) {
scale++;
}
Log.d("TAG", "scale = " + scale + ", orig-width: " + options.outWidth + ", orig-height: " + options.outHeight);
Bitmap pic = null;
if (scale > 1) {
scale--;
// scale to max possible inSampleSize that still yields an image
// larger than target
options = new BitmapFactory.Options();
options.inSampleSize = scale;
pic = BitmapFactory.decodeResource(resource, path, options);
// resize to desired dimensions
int height = canvas.getHeight();
int width = canvas.getWidth();
Log.d("TAG", "1th scale operation dimenions - width: " + width + ", height: " + height);
double y = Math.sqrt(IMAGE_MAX_SIZE
/ (((double) width) / height));
double x = (y / height) * width;
Bitmap scaledBitmap = Bitmap.createScaledBitmap(pic, (int) x, (int) y, true);
pic.recycle();
pic = scaledBitmap;
System.gc();
} else {
pic = BitmapFactory.decodeResource(resource, path);
}
Log.d("TAG", "bitmap size - width: " +pic.getWidth() + ", height: " + pic.getHeight());
return pic;
} catch (Exception e) {
Log.e("TAG", e.getMessage(),e);
return null;
}
}
Justin的代码非常有效地减少了使用大型位图的开销。
